Further, we detail the methods that work with the unlabeled pool of (paired) data \(S_2\) . As mentioned at the beginning of the section, the problem can be reformulated as unsupervised domain adaptation. The most successful approaches to this problem are based on adversarial training. Therefore, we adopt the approach of [1]} and build a deep adversarial neural network (DANN). The reason to choose this method we discuss in Sec. REF .
